AI & Data Privacy

Course Details

As AI technologies continue to evolve and permeate various sectors, understanding how they interact with personal data has never been more critical. This course is designed to equip you with the knowledge and skills necessary to navigate the challenges and opportunities that arise at the intersection of AI and data privacy, ensuring that you are well-prepared to address these pressing issues in your professional life.

Throughout this course, you will explore the fundamental concepts of AI and data privacy, delve into the mechanisms by which AI technologies handle and protect data, and analyse real-world examples that highlight both effective practices and potential pitfalls. You will also gain insights into the regulatory frameworks governing AI and data privacy, as well as best practices for ethical AI deployment. By the end of this course, you will have a robust understanding of the risks associated with AI systems and the strategies needed to mitigate them, positioning you as a knowledgeable advocate for responsible AI use in your organisation.

This course includes the following features:

• Instructor-led demonstrations and visual presentations to develop your skills based on real-world scenarios.
• Unlike a live class, you can fast-forward, repeat, or rewind all your lectures. This gives you all the benefit of hands-on training with the flexibility of doing it around your schedule 24/7.
• You can also interact and collaborate with other students through our forums, student contributions and announcement features.

Who should complete this course?

• Cybersecurity and Data Privacy Professionals: Ideal for those working in data protection, compliance, or cybersecurity, this course provides insights into AI-driven data privacy risks, legal frameworks, and best practices for secure AI deployment.
• Business Leaders and Decision-Makers: Helps executives and managers understand regulatory requirements, ethical considerations, and AI governance, ensuring responsible AI implementation within organisations.
• AI and Machine Learning Developers: Essential for professionals building AI systems, equipping them with privacy-by-design principles, data security strategies, and risk mitigation techniques for responsible AI development.
• Legal and Compliance Professionals: Provides an in-depth understanding of AI data privacy laws, regulatory frameworks, and ethical AI policies, enabling legal teams to navigate compliance challenges in AI-driven environments.
• Policy Makers and Ethics Advocates: Beneficial for those involved in shaping AI policies, governance, and ethical frameworks, ensuring AI technologies align with data protection regulations and societal expectations.

Entry Requirements / Prerequisites

• None.
• View the technical requirements for accessing CMIT eLearning.
• Learn more about the suitability of this course.